TY - GEN
T1 - GeoSynth
T2 - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
AU - Sastry, Srikumar
AU - Khanal, Subash
AU - Dhakal, Aayush
AU - Jacobs, Nathan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - We present GeoSynth, a model for synthesizing satellite images with global style and image-driven layout control. The global style control is via textual prompts or geographic location. These enable the specification of scene semantics or regional appearance respectively, and can be used together. We train our model on a large dataset of paired satellite imagery, with automatically generated captions, and OpenStreetMap data. We evaluate various combinations of control inputs, including different types of layout controls. Results demonstrate that our model can generate diverse, high-quality images and exhibits excellent zero-shot generalization. The code and model check-points are available at https://github.com/mvrl/GeoSynth.
AB - We present GeoSynth, a model for synthesizing satellite images with global style and image-driven layout control. The global style control is via textual prompts or geographic location. These enable the specification of scene semantics or regional appearance respectively, and can be used together. We train our model on a large dataset of paired satellite imagery, with automatically generated captions, and OpenStreetMap data. We evaluate various combinations of control inputs, including different types of layout controls. Results demonstrate that our model can generate diverse, high-quality images and exhibits excellent zero-shot generalization. The code and model check-points are available at https://github.com/mvrl/GeoSynth.
KW - Control Net
KW - Diffusion Models
KW - Satellite image generation
UR - http://www.scopus.com/inward/record.url?scp=85206450198&partnerID=8YFLogxK
U2 - 10.1109/CVPRW63382.2024.00051
DO - 10.1109/CVPRW63382.2024.00051
M3 - Conference contribution
AN - SCOPUS:85206450198
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 460
EP - 470
BT - Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024
PB - IEEE Computer Society
Y2 - 16 June 2024 through 22 June 2024
ER -